Browsing Department of Mathematics by Subject "Dimensionality Reduction"
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A Dimensionality Reducing Extension of Bayesian Relevance Learning
(Master thesis, 2021-02-11)When modeling with big data and high dimensional data, the ability to extract the most important information from the data set and avoid overfitting is crucial. However, by using well developed sparse methods, we can ...